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        <li class="header">第 1 部分 电商分析系统介绍</li>
        
        
    
        <li class="chapter " data-level="1.1" data-path="./">
            
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                    第 1 章 项目简介
            
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        <li class="chapter " data-level="1.1.1" data-path="11-xiang-mu-zheng-ti-jie-shao.html">
            
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                    1.1 项目整体介绍
            
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        <li class="chapter " data-level="1.1.2" data-path="12-xiang-mu-zheng-ti-jia-gou.html">
            
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                    1.2 项目整体架构
            
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        <li class="chapter " data-level="1.1.3" data-path="13-ye-wu-xu-qiu.html">
            
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                    1.3 数据源分析
            
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                    1.4 项目需求
            
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                    第 2 章 预备知识
            
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                    第 3 章 项目搭建
            
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                    3.1 创建父工程
            
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                    3.2 创建通用子模块
            
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                    3.3 创建模拟数据子模块
            
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        <li class="header">第 2 部分 电商分析系统需求实现</li>
        
        
    
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                    第 4 章 需求1: Top10 热门品类
            
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                    第 5 章 需求2: Top10热门品类中的 Top10 活跃 Session 统计
            
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                    第 6 章 需求3: 页面单条转化率统计
            
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                    第 7 章 需求4: 各区域热门商品 Top3
            
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                <a href="di-2-bu-fen-dian-shang-fen-xi-xi-tong-xu-qiu-shi-xian/di-8-zhang-guang-gao-dian-ji-liang-shi-shi-tong-ji.html">
            
                    
                    第 8 章 需求5:  广告黑名单实时统计
            
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        <li class="chapter " data-level="2.5.1" data-path="di-2-bu-fen-dian-shang-fen-xi-xi-tong-xu-qiu-shi-xian/di-8-zhang-guang-gao-dian-ji-liang-shi-shi-tong-ji/81-li-xian-xiang-mu-yu-bei-zhi-shi.html">
            
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                    8.1 离线项目预备知识
            
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                    8.2 实时环境搭建
            
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        <li class="chapter " data-level="2.5.3" data-path="di-2-bu-fen-dian-shang-fen-xi-xi-tong-xu-qiu-shi-xian/di-8-zhang-guang-gao-dian-ji-liang-shi-shi-tong-ji/82-xu-qiu-5-guang-gao-hei-ming-dan-shi-shi-tong-ji.html">
            
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                    8.3 需求5: 广告黑名单实时统计
            
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            </ul>
            
        </li>
    
        <li class="chapter " data-level="2.6" data-path="di-2-bu-fen-dian-shang-fen-xi-xi-tong-xu-qiu-shi-xian/di-9-zhang-xu-qiu-6-guang-gao-dian-ji-liang-shi-shi-tong-ji.html">
            
                <a href="di-2-bu-fen-dian-shang-fen-xi-xi-tong-xu-qiu-shi-xian/di-9-zhang-xu-qiu-6-guang-gao-dian-ji-liang-shi-shi-tong-ji.html">
            
                    
                    第 9 章 需求6: 广告点击量实时统计 
            
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        </li>
    
        <li class="chapter " data-level="2.7" data-path="di-2-bu-fen-dian-shang-fen-xi-xi-tong-xu-qiu-shi-xian/di-10-zhang-xu-qiu-7-mei-tian-mei-di-qu-re-men-guang-gao-top3.html">
            
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                    第 10 章 需求7: 每天每地区 热门广告 Top3
            
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        </li>
    
        <li class="chapter " data-level="2.8" data-path="di-2-bu-fen-dian-shang-fen-xi-xi-tong-xu-qiu-shi-xian/di-11-zhang-xin-zeng-xu-6c423a-zui-jin-1-xiao-shi-guang-gao-dian-ji-liang-shi-shi-tong-ji.html">
            
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                    第 11 章 新增需求: 最近 1 小时广告点击量实时统计
            
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                                <h1 id="&#x7B2C;-2-&#x7AE0;-&#x9884;&#x5907;&#x77E5;&#x8BC6;">&#x7B2C; 2 &#x7AE0; &#x9884;&#x5907;&#x77E5;&#x8BC6;</h1>
<p>&#x53C2;&#x8003;: <a href="http://www.zhenchao.cf/bigdata_spark_atguigu" target="_blank">Spark &#x57FA;&#x7840;&#x77E5;&#x8BC6;</a></p>
<h2 id="21-spark-core-&#x7684;&#x5E38;&#x7528;&#x7B97;&#x5B50;">2.1 spark core &#x7684;&#x5E38;&#x7528;&#x7B97;&#x5B50;</h2>
<blockquote>
<p>&#x8F6C;&#x6362;&#x7B97;&#x5B50;</p>
</blockquote>
<table>
<thead>
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<th><strong>&#x7B97;&#x5B50;</strong></th>
<th>&#x8BF4;&#x660E;</th>
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</thead>
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<td><code>map</code></td>
<td>&#x8F6C;&#x6362;&#x96C6;&#x5408;&#x4E2D;&#x7684;&#x6BCF;&#x4E00;&#x4E2A;&#x5143;&#x7D20;.(&#x6CE8;&#x610F;&#x548C; <code>forEach</code> &#x7684;&#x533A;&#x522B;)</td>
</tr>
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<td><code>flatMap</code></td>
<td>&#x8F6C;&#x6362;&#x96C6;&#x5408;&#x4E2D;&#x7684;&#x6BCF;&#x4E00;&#x4E2A;&#x5143;&#x7D20;&#xFF0C;&#x538B;&#x5E73;&#x96C6;&#x5408;&#xFF0C;&#x628A;&#x96C6;&#x5408;&#x6253;&#x788E;&#xFF0C;&#x6253;&#x788E;&#x6210;&#x975E;&#x96C6;&#x5408;&#x5143;&#x7D20;</td>
</tr>
<tr>
<td><code>filter</code></td>
<td>&#x8FC7;&#x6EE4;&#x5143;&#x7D20;</td>
</tr>
<tr>
<td><code>reduceByKey</code></td>
<td>&#x4EE5;<code>key</code>&#x4E3A;&#x5355;&#x4F4D;&#x8FDB;&#x884C;&#x805A;&#x5408;</td>
</tr>
<tr>
<td><code>groupByKey</code></td>
<td>&#x4EE5;key&#x4E3A;&#x5355;&#x4F4D;&#x8FDB;&#x884C;&#x805A;&#x5408;&#xFF08;&#x805A;&#x5728;&#x4E00;&#x8D77;&#xFF0C;<code>RDD[key,value]=&gt;RDD[key,iterable[value]]&#xFF09;</code></td>
</tr>
<tr>
<td><code>left join</code></td>
<td>&#x5DE6;&#x5916;&#x8FDE;&#x63A5;&#xFF0C;&#x5168;&#x96C6;&#x5728;&#x5DE6;&#x8FB9;</td>
</tr>
<tr>
<td><code>join</code></td>
<td>&#x5185;&#x5173;&#x8054;&#xFF0C;&#x53D6;&#x5DE6;&#x53F3;&#x4EA4;&#x96C6;</td>
</tr>
</tbody>
</table>
<blockquote>
<p>&#x884C;&#x52A8;&#x7B97;&#x5B50;</p>
</blockquote>
<table>
<thead>
<tr>
<th><strong>&#x7B97;&#x5B50;</strong></th>
<th>&#x8BF4;&#x660E;</th>
</tr>
</thead>
<tbody>
<tr>
<td><code>collect</code></td>
<td>&#x628A; RDD &#x7ED3;&#x679C;&#x5176;&#x63D0;&#x53D6;&#x5230; Driver</td>
</tr>
<tr>
<td><code>take</code></td>
<td>&#x53D6;&#x524D;<code>n</code>&#x4E2A;</td>
</tr>
<tr>
<td><code>countByKey</code></td>
<td>&#x6BCF;&#x4E2A;<code>key</code>&#x7684;&#x4E2A;&#x6570; <code>Map[key,count]</code></td>
</tr>
<tr>
<td><code>foreach</code></td>
<td>&#x904D;&#x5386; <code>RDD</code> &#x4E2D;&#x6BCF;&#x4E2A;&#x5143;&#x7D20; &#xFF0C;&#x4E00;&#x822C;&#x7528;&#x4E8E;&#x6BCF;&#x4E2A;&#x5143;&#x7D20;&#x7684;&#x8F93;&#x51FA;</td>
</tr>
<tr>
<td><code>foreachPartition</code></td>
<td>&#x6309;&#x5206;&#x533A;&#x904D;&#x5386;</td>
</tr>
</tbody>
</table>
<blockquote>
<p>scala &#x4E2D;&#x4E09;&#x4E2A;&#x7528;&#x6765;&#x6392;&#x5E8F;&#x7684;&#x7B97;&#x5B50;</p>
</blockquote>
<ol>
<li><p><code>sorted</code></p>
</li>
<li><p><code>sortBy</code></p>
</li>
<li><p><code>sortWith</code></p>
</li>
</ol>
<blockquote>
<p>&#x5408;&#x5E76;&#x4E24;&#x4E2A; <code>map</code>: <code>key</code> &#x76F8;&#x540C;&#x5219;&#x628A;&#x503C;&#x76F8;&#x52A0;. </p>
</blockquote>
<hr>
<h2 id="22-spark-rdd-&#x7684;&#x6301;&#x4E45;&#x5316;">2.2 spark RDD &#x7684;&#x6301;&#x4E45;&#x5316;</h2>
<p>&#x53C2;&#x8003;: <a href="http://www.zhenchao.cf/bigdata_spark_atguigu/di-2-bu-fen-spark-core/di-5-zhang-rdd-bian-cheng/50-rdd-de-chi-jiu-hua.html" target="_blank">http://www.zhenchao.cf/bigdata_spark_atguigu/di-2-bu-fen-spark-core/di-5-zhang-rdd-bian-cheng/50-rdd-de-chi-jiu-hua.html</a></p>
<hr>
<h2 id="23-spark-&#x5171;&#x4EAB;&#x53D8;&#x91CF;">2.3 Spark &#x5171;&#x4EAB;&#x53D8;&#x91CF;</h2>
<h3 id="&#x5E7F;&#x64AD;&#x53D8;&#x91CF;">&#x5E7F;&#x64AD;&#x53D8;&#x91CF;</h3>
<p>&#x53C2;&#x8003;: <a href="http://www.zhenchao.cf/bigdata_spark_atguigu/di-2-bu-fen-spark-core/di-8-zhang-rdd-bian-cheng-jin-jie/82-guang-bo-bian-liang.html" target="_blank">http://www.zhenchao.cf/bigdata_spark_atguigu/di-2-bu-fen-spark-core/di-8-zhang-rdd-bian-cheng-jin-jie/82-guang-bo-bian-liang.html</a></p>
<h3 id="&#x7D2F;&#x52A0;&#x5668;">&#x7D2F;&#x52A0;&#x5668;</h3>
<p>&#x53C2;&#x8003;: <a href="http://www.zhenchao.cf/bigdata_spark_atguigu/di-2-bu-fen-spark-core/di-8-zhang-rdd-bian-cheng-jin-jie/81-lei-jia-qi.html" target="_blank">http://www.zhenchao.cf/bigdata_spark_atguigu/di-2-bu-fen-spark-core/di-8-zhang-rdd-bian-cheng-jin-jie/81-lei-jia-qi.html</a></p>
<h2 id="24-spark-sql">2.4 Spark SQL</h2>
<p>&#x53C2;&#x8003;: <a href="http://www.zhenchao.cf/bigdata_spark_atguigu/di-3-bu-fen-spark-sql/di-10-zhang-spark-sql-bian-cheng.html" target="_blank">http://www.zhenchao.cf/bigdata_spark_atguigu/di-3-bu-fen-spark-sql/di-10-zhang-spark-sql-bian-cheng.html</a></p>
<ol>
<li><p>&#x4E24;&#x4E2A;&#x6838;&#x5FC3;&#x6982;&#x5FF5;: DataFrame &#x548C; DataSet</p>
</li>
<li><p>DataFrame, DataSet, RDD &#x4E4B;&#x95F4;&#x7684;&#x8F6C;&#x6362;</p>
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<li><p>&#x628A;&#x6570;&#x636E;&#x5199;&#x5165;&#x5230; Hive &#x4E2D;</p>
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